Simulations of Simulations in Evolutionary Robotics. - Edgar Bermudez Contreras; Anil K. Seth (ECAL, 2007)

A biologically inspired solution for an evolved simulated agent. - Edgar Bermudez Contreras (GECCO, 2007)

Movement Strategies for Learning in Visual Recognition. - Edgar Bermudez Contreras; Andrew Philippides; Anil K. Seth (ALIFE, 2008)

Attention can improve a simple model for object recognition. - Edgar Bermudez Contreras; Hilary Buxton; Emmet Spier (Image Vis. Comput., 2008)

Modelling active bio-inspired object recognition in autonomous mobile agents. - Edgar Bermudez Contreras (2010)

Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes. - Eric Chalmers; Edgar Bermudez Contreras; Brandon Robertson; Artur Luczak; Aaron J. Gruber (IJCNN, 2016)

Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning. - Eric Chalmers; Edgar Bermudez Contreras; Brandon Robertson; Artur Luczak; Aaron J. Gruber (IEEE Trans. Neural Networks Learn. Syst., 2018)

The Neuroscience of Spatial Navigation and the Relationship to Artificial Intelligence. - Edgar Bermudez Contreras; Benjamin J. Clark; Aaron Wilber (Frontiers Comput. Neurosci., 2020)

Deep reinforcement learning to study spatial navigation, learning and memory in artificial and biological agents. - Edgar Bermudez Contreras (Biol. Cybern., 2021)

A model of how hierarchical representations constructed in the hippocampus are used to navigate through space. - Eric Chalmers; Matthieu Bardal; Robert J. McDonald; Edgar Bermudez Contreras (Adapt. Behav., 2025)